Build and strengthen the Java Spring Boot API at the centre of our platform, integrating with trading, custody, identity verification, payments, CRM and notification platforms.
Compensation
Base salary: €38,400 – €57,600 gross per year (€3,200 – €4,800 gross per month), before employee tax and social-security contributions.
Annual bonus: eligible for the Group bonus scheme,
Responsibilities
Design, build and maintain features in our Spring Boot services and shared libraries.
Build and strengthen integrations with trading, custody, identity verification, payments, CRM and notification platforms.
Ensure money movements are correct, auditable and reconcilable.
Own PostgreSQL schema design, migrations and query performance.
Instrument services with logging, metrics and tracing, and participate in the engineering support rota.
Requirements
Degree in Computer Science, Software Engineering or a related field, or equivalent professional experience.
Product Engineers at Nominal work at the intersection of product, design, and engineering to build tools that help hardware engineers simulate, test, and operate physical systems.
Responsibilities
Prototype, learn, and ship: Turn loosely defined ideas into working prototypes put in front of users early.
Own product decisions: Partner closely with design, product, and engineering to decide what to build.
Make complex workflows feel simple: Build experiences that help engineers reason about the development lifecycle.
Make hardware behavior understandable and actionable: Build tools for authoring HMI diagrams, monitoring, and commanding devices.
Build systems, not just screens: Use React, TypeScript, and modern web technologies to build scalable product experiences across complex data models.
Lead and contribute to research programmes that shape our understanding of how frontier AI systems influence people, design and execute rigorous studies, publish work, and help set the research agenda for the team.
Develop and deploy clean, well-tested code for CarGurus dealer-facing inventory products, integrating modern AI tools and collaborating across cross-functional teams.
Compensation
$112,000—$141,000 USD
Responsibilities
Develop and deploy clean, well-tested and efficient code
Provide support and improvements to core systems
Integrate modern AI tools into development pipeline
Collaborate with cross-functional teams to guide projects from concept through design, implementation, testing, and performance measurement
Supporting learners in an AI-augmented engineering bootcamp at a large regulated insurer by reviewing code, providing feedback, and running office hours.
Responsibilities
Review learners' AI-assisted code, specs, and governance artifacts — give constructive, specific feedback
Catch where learners are stuck or falling behind and intervene early
Run virtual office hours for Q&A and hands-on help
Evaluate not just 'does the code work' but 'did the engineer use AI well' — judgment, not just output
Requirements
Nice to have: Mentoring
Nice to have: Code review
Nice to have: Bootcamp TA experience
Nice to have: Experience in a regulated or enterprise environment
Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance).
Responsibilities
Design and execute rigorous human-AI interaction studies
Publish research findings in academic venues
Lead author and co-author academic publications
Engage with government officials, regulators, and the research community
Develop datasets to monitor real-world risk exposure
Requirements
PhD (or equivalent years of research experience) in a relevant field
Nice to have: Published work related to societal impacts of AI
Nice to have: Experience fine-tuning language models
Nice to have: Experience with reinforcement learning
Nice to have: Experience with large-scale analysis of multi-turn conversations
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